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Radiation Hardened robotics for remote INspectiOn - RHINO

Radiation Hardened robotics for remote INspectiOn - RHINO
用于远程检查的抗辐射机器人 - RHINO
批准号:
EP/X022331/1
负责人:
Michael Aspinall
金额:
$64.23万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

项目摘要

项目成果

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中文摘要
翻译
2011年3月,日本本州岛东北海岸附近的太平洋海域发生了里氏9.0级地震。日本政府将其命名为“东日本大地震”,引发了巨大的海啸,淹没了200多平方英里的沿海土地。这场毁灭性的灾难引发了一系列灾难性的故障,导致福岛第一核电站(NPP)的熔毁,并引发了核紧急情况。当用于维持和控制核燃料温度的冷却系统失效时,反应堆就会发生熔毁。然后,燃料不受控制地升温,破坏安全壳或产生足够的压力导致爆炸。福岛的三个反应堆都发生了熔毁,导致燃料碎片散落在整个反应堆中。福岛第一核电站燃料碎片的回收对退役和废物管理具有重要意义。它需要详细了解碎片内的放射性同位素组成和它们的位置。然而,在受损反应堆的安全壳内,辐射水平如此之高,构成了一个重大挑战。它阻止了直接的人为干预,可以使探测器和传感器不堪重负,损坏电子设备并导致材料损坏。进入安全壳内部的通道也非常狭窄。为了进行一般观察,确定燃料碎片的组成,定位和检索,部署了专用机器人。迄今为止部署的许多机器人在操作过程中由于辐射损伤或其功能受到极端环境的严重阻碍而失败。该项目汇集了英国两项世界领先的研究活动,涉及抗辐射便携式辐射探测(兰开斯特大学)和小型抗辐射遥控车辆(曼彻斯特大学)的开发,冈山大学和神户城市工业学院率先开发了抗辐射处理器。该研究的主要目的是开发和部署一种简化的机器人,优先考虑辐射硬度和可靠性,而不是功能复杂性。我们的假设是,“这样的机器人能比迄今为止尝试过的复杂替代品更有效吗?”地面防辐射机器人将配备非破坏性传感器,用于远程检测。由辐射传感器和激光雷达(光探测和测距)组成的辐射耐受有效载荷将提供与定位辐射强度和放射性同位素身份叠加的高放射性环境的三维(3D)空间测绘。该机器人将在现实领域进行测试,以证明其定位和识别来自福岛受损反应堆内核燃料碎片的分散放射性同位素的能力。这种技术也适用于英国的核退役挑战,特别是在Sellafield Site Ltd.,以及英国原子能管理局在核聚变能源方面的世界领先研究。
英文摘要
In March 2011 a magnitude-9.0 earthquake struck in the Pacific Ocean off the northeast coast of Japan's Honshu island. Named the Great East Japan Earthquake by the Japanese government, it triggered a massive tsunami that flooded more than 200 square miles of coastal land. This devastating disaster caused a series of catastrophic failures resulting in the meltdown of the Fukushima Daiichi Nuclear Power Plant (NPP) and initiated a nuclear emergency. Reactor meltdown occurs when the cooling systems used to maintain and control the temperature of the nuclear fuel fails. The fuel then heats up uncontrollably and breaches the containment vessel or creates enough pressure to cause an explosion. Reactor meltdown occurred at all three reactors at Fukushima, resulting in fuel debris being dispersed throughout the reactors.Retrieval of the fuel debris from the Fukushima Daiichi NPP is of great importance for decommissioning and waste management. It requires detailed understanding of the radioisotope composition within the debris and knowledge of their location. However, inside the stricken reactors' containment vessels, the radiation levels are so intense it presents a significant challenge. It prevents direct human intervention, can overwhelm detectors and sensors, damage electronics and cause materials to perish. Access routes to inside the containment vessels are also very narrow. To make general observations, identify fuel debris composition, location and retrieval, dedicated robots are deployed. Many of the robots deployed to date have failed due to radiation damage during operation or their function is severely hampered by the extreme environment.This project brings together two world-leading research activities in the United Kingdom associated with radiation-hard, portable radiation detection (Lancaster University) and the development of small, radiation-hard remotely-operated vehicles (The University of Manchester) in collaboration with Okayama University and Kobe City College of Technology who have pioneered radiation-hard processors. The key aim of the research is to develop and deploy a simplified robot that prioritises radiation hardness and reliability over functional complexity. The hypothesis is, 'can such robots be more effective than the sophisticated alternatives tried to date?'. The ground-based radiation-hard robot will be equipped with non-destructive sensors for remote inspection. A radiation tolerant payload consisting of radiation sensors and LiDAR (light detection and ranging) will afford 3-dimensional (3D) spatial mapping of highly radioactive environments superimposed with located radiation intensities and radioisotope identities. The robot will be tested in realistic fields to demonstrate its ability to locate and identify dispersed radioisotopes derived from nuclear fuel debris inside Fukushima's stricken reactors. Such technology is also applicable to the UK's nuclear decommissioning challenges, specifically at Sellafield Site Ltd., and world-leading research in fusion energy at the UK Atomic Energy Authority.
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Ground Level Enhancement Event Monitor (GLEEM)
  • 批准号:
    ST/X002241/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $161.69万
  • 财政年份:
    2022
  • 负责人:
    Michael Aspinall
  • 依托单位:
DERIvATE: Deployable ElectRochemIcally Assisted Tritium dEtection
  • 批准号:
    NE/W007320/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $5.62万
  • 财政年份:
    2021
  • 负责人:
    Michael Aspinall
  • 依托单位:
Ground Level Enhancement Event Monitor (GLEEM)
  • 批准号:
    ST/W001810/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $16.79万
  • 财政年份:
    2021
  • 负责人:
    Michael Aspinall
  • 依托单位:
Radiation tolerant rapid criticality monitoring (REACTION)
  • 批准号:
    EP/T013532/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $31.85万
  • 财政年份:
    2019
  • 负责人:
    Michael Aspinall
  • 依托单位:
海外基金